Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

doi:10.1088/1674-1056/acb91b

中国物理B ›› 2023, Vol. 32 ›› Issue (10): 100506-100506.doi: 10.1088/1674-1056/acb91b

Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

Xiru Wu(伍锡如), Yuchong Zhang(张煜翀)^†, Tiantian Zhang(张畑畑), and Binlei Zhang(张斌磊)

School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China

收稿日期:2022-10-25 修回日期:2023-01-22 接受日期:2023-02-06 出版日期:2023-09-21 发布日期:2023-09-27
通讯作者: Yuchong Zhang E-mail:yczhang_1128@163.com
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 62263005), Guangxi Natural Science Foundation (Grant No. 2020GXNSFDA238029), Laboratory of AI and Information Processing (Hechi University), Education Department of Guangxi Zhuang Autonomous Region (Grant No. 2022GXZDSY004), Innovation Project of Guangxi Graduate Education (Grant No. YCSW2023298), and Innovation Project of GUET Graduate Education (Grant Nos. 2022YCXS149 and 2022YCXS155).

Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

Xiru Wu(伍锡如), Yuchong Zhang(张煜翀)^†, Tiantian Zhang(张畑畑), and Binlei Zhang(张斌磊)

School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China

Received:2022-10-25 Revised:2023-01-22 Accepted:2023-02-06 Online:2023-09-21 Published:2023-09-27
Contact: Yuchong Zhang E-mail:yczhang_1128@163.com
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 62263005), Guangxi Natural Science Foundation (Grant No. 2020GXNSFDA238029), Laboratory of AI and Information Processing (Hechi University), Education Department of Guangxi Zhuang Autonomous Region (Grant No. 2022GXZDSY004), Innovation Project of Guangxi Graduate Education (Grant No. YCSW2023298), and Innovation Project of GUET Graduate Education (Grant Nos. 2022YCXS149 and 2022YCXS155).

摘要/Abstract

摘要： This paper is concerned with the finite-time dissipative synchronization control problem of semi-Markov switched cyber-physical systems in the presence of packet losses, which is constructed by the Takagi-Sugeno fuzzy model. To save the network communication burden, a distributed dynamic event-triggered mechanism is developed to restrain the information update. Besides, random packet dropouts following the Bernoulli distribution are assumed to occur in sensor to controller channels, where the triggered control input is analyzed via an equivalent method containing a new stochastic variable. By establishing the mode-dependent Lyapunov-Krasovskii functional with augmented terms, the finite-time boundness of the error system limited to strict dissipativity is studied. As a result of the help of an extended reciprocally convex matrix inequality technique, less conservative criteria in terms of linear matrix inequalities are deduced to calculate the desired control gains. Finally, two examples in regard to practical systems are provided to display the effectiveness of the proposed theory.

关键词: cyber-physical systems, finite-time synchronization, distributed dynamic event-triggered mechanism, random packet losses

Abstract: This paper is concerned with the finite-time dissipative synchronization control problem of semi-Markov switched cyber-physical systems in the presence of packet losses, which is constructed by the Takagi-Sugeno fuzzy model. To save the network communication burden, a distributed dynamic event-triggered mechanism is developed to restrain the information update. Besides, random packet dropouts following the Bernoulli distribution are assumed to occur in sensor to controller channels, where the triggered control input is analyzed via an equivalent method containing a new stochastic variable. By establishing the mode-dependent Lyapunov-Krasovskii functional with augmented terms, the finite-time boundness of the error system limited to strict dissipativity is studied. As a result of the help of an extended reciprocally convex matrix inequality technique, less conservative criteria in terms of linear matrix inequalities are deduced to calculate the desired control gains. Finally, two examples in regard to practical systems are provided to display the effectiveness of the proposed theory.

Key words: cyber-physical systems, finite-time synchronization, distributed dynamic event-triggered mechanism, random packet losses

中图分类号: (Synchronization; coupled oscillators)

05.45.Xt

07.05.Mh (Neural networks, fuzzy logic, artificial intelligence) 07.05.Dz (Control systems) 05.45.-a (Nonlinear dynamics and chaos)

Xiru Wu(伍锡如), Yuchong Zhang(张煜翀), Tiantian Zhang(张畑畑), and Binlei Zhang(张斌磊). Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses[J]. 中国物理B, 2023, 32(10): 100506-100506.

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Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

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